Hello,
I've been fitting a random effects model using nlme to some data, but I am
discovering that the variation in my random effect is very small. As a result,
I would like to replace it as a fixed effect (i.e. essentially fit the same
model but with no random effect).
As I understand it I could do this using nls(), but I'm using a number of
options such as weights = varPower() which I am at a loss on how to implement
in that framework.
Is there a way to use nlme but with out a random effect? (a bit absurd, I
realize, but I have the syntax working...)
Alternatively, is there a way to use "weights = varPower()" with nls?
Any help would be appreciated.
Sincerely,
Mike
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